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Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions

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Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions - Deng, Naiyang, and Tian, Yingjie, and Zhang, Chunhua, Dr.
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Enabling a sound understanding of SVMs, this book gives readers the tools to solve real-world problems using SVMs. It presents an accessible treatment of the two main components of SVMs--classification problems and regression problems. The authors emphasize the close connection between optimization theory and SVMs since optimization is one of the pillars on which SVMs are built. They construct SVMs for semi-supervised, knowledge-based, and robust classification problems. They also cover SVMs for Universum, privileged, multi ...

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Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions 2012, CRC Press, Oxford

ISBN-13: 9781439857922

Hardcover